2 citations · 2 across the 4 of their papers we have counts for
5 papers
Efficient computation of mixture confidence sequences in generalized linear models
Claudia Di Caterina, Luigi Pace, Alessandra Salvan +1
Classical confidence intervals, when repeatedly obtained on accumulating data at different sample sizes, produce contradictory inferences with high probability. We propose a simple…
Directional testing for high-dimensional multivariate normal distributions
Caizhu Huang, Claudia Di Caterina, Nicola Sartori
Thanks to its favorable properties, the multivariate normal distribution is still largely employed for modeling phenomena in various scientific fields. However, when the number of…
Directional tests in Gaussian graphical models
Claudia Di Caterina, Nancy Reid, Nicola Sartori
Directional tests to compare incomplete undirected graphs are developed in the general context of covariance selection for Gaussian graphical models. The exactness of the underlyin…
Monte Carlo modified profile likelihood in models for clustered data
Claudia Di Caterina, Giuliana Cortese, Nicola Sartori
The main focus of the analysts who deal with clustered data is usually not on the clustering variables, and hence the group-specific parameters are treated as nuisance. If a fixed…
Location-adjusted Wald statistics for scalar parameters
C. Di Caterina, I. Kosmidis
Inference about a scalar parameter of interest is a core statistical task that has attracted immense research in statistics. The Wald statistic is a prime candidate for the task, o…